Gemini Pro API in Python: Learn to Access using Google API Key
🚀 In this comprehensive tutorial, we delve into the exciting world of the Gemini API and how to use it with API keys generated from Google AI Studio. Whether you're a beginner or an advanced user, this video is tailored to provide you with a clear understanding of the interaction between generative AI packages and the Gemini API. We compare Google AI Studio and Vertex AI, exploring their differences in API keys and service accounts.
👩💻 Starting with an introduction to the Gemini API and its access methods, we guide you through creating service accounts in Google Cloud Console, and utilizing Python packages for effective API interaction. Our step-by-step process includes detailed instructions on setting up your environment, generating API keys, and writing Python code to interact with the API.
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🔍 Timestamps:
0:00 - Introduction to Gemini API and Google AI Studio
0:33 - Service Accounts and Google Cloud Console Overview
1:19 - Using Vertex AI Python Package
1:29 - Generating API Keys in Google AI Studio
1:53 - Step-by-Step Coding Tutorial
3:00 - Comparing Google AI Studio and Vertex AI
3:47 - Advanced Application: Gemini Vision API
💡 Stay tuned till the end for a practical demonstration of integrating Gemini API into a Python application, including a unique example using the Gemini Vision API.
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